Attention · AI product · Mid · 45 to 60 minutes

Should Attention broaden into a suite now?

Attention is an AI sales automation company that builds tools for sales teams. Answer this product management case and get it graded line by line against a weighted rubric.

Product strategy
AI product judgment
Prioritization
Cross functional planning
Written communication

The situation

Your VP of Product asks you to recommend how Attention should evolve its product area over the next year. The company has traction in AI sales automation, and customers are starting to ask for broader coverage across more of the sales workflow. Leadership now faces two linked questions. First, should Attention stay tightly focused on a single core offering for longer, or begin expanding toward a broader suite of products? Second, where should scarce product, design, and engineering effort go across interface work, AI quality, and the systems that connect AI to customer workflows? Some possible bets may win because the user experience is clear and easy to trust. Others may depend more on underlying AI behavior, reliability, and orchestration across tasks. Design capacity is limited, and the team does not want to spread itself across disconnected ideas or build adjacent products without a clear center. You are not being asked for a feature roadmap. You need to propose a product area strategy that defines the core, sets a view on expansion, and explains how to align product and design effort with the parts of the experience that matter most.

What to produce

Write a 1 to 2 page product strategy memo.

Your answer must

Define the core customer problem Attention should anchor on, and explain why it should remain the center of the product area.
Recommend whether Attention should stay focused or start expanding toward a broader suite now, with 2 to 3 decision principles behind your choice.
Describe two adjacent problem areas Attention could consider next at a high level, and state which one you would pursue first, defer, or reject for now.
Explain how you would decide where to invest in interface and design work versus AI quality and workflow orchestration across the core and any adjacent bets.
Propose how product, design, and engineering should work together in this product area, including where design involvement should be deepest.
Define success measures, key risks, and trigger points that would tell you to double down, pause, or change course.

Constraints

Use only the summary and takeaways provided here, do not assume specific features, customer segments, metrics, or partnerships that are not stated.
Assume limited design capacity and no major headcount increase in the next two quarters.
Keep the scope to one product area strategy for the next year, not a full company reorganization or detailed roadmap.

Format

Use short section headers and concise bullets under each section.

How Attention actually played it

Describes how an AI sales automation company grew toward a multi-product suite and how its team splits work, with most innovation in AI logic and orchestration rather than interfaces.

Know where innovation actually happens in AI products
Structure design involvement by where UX matters
Multi-product expansion needs a clear core

Built from Inside Attention’s path to a multi-product AI suite redefining sales automation by Timothe Frin.